Panther Lake and Nova Lake laptops will return to traditional RAM sticks

  • Buffalox@lemmy.world
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    11 days ago

    I’ve commented many times that Arc isn’t competitive, at least not yet.
    Although they were decent performers, they used twice the die size for similar performance compared to Nvidia and AMD, so Intel has probably sold them at very little profit.
    Still I expected them to try harder this time, because the technologies to develop a good GPU, are strategically important in other areas too.
    But maybe that’s the reason Intel recently admitted they couldn’t compete with Nvidia on high end AI?

    • hamsterkill@lemmy.sdf.org
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      11 days ago

      Still I expected them to try harder this time, because the technologies to develop a good GPU, are strategically important in other areas too

      I think I read somewhere that they’re having problems getting AIB partners for Battlemage. That would be a significant impediment for continuing in the consumer desktop market unless Battlemage can perform better (business-wise) than Alchemist.

      They probably will continue investing in GPU even if they give up on Arc, it might just be for the specialized stuff.

    • 1rre@discuss.tchncs.de
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      11 days ago

      Yeah true, plus I bought my a770 at pretty much half price during the whole driver issues and so eventually got a 3070 performing card for like $250, which is an insane deal for me but no way intel made anything on it after all the rnd and production costs

      The main reason Intel can’t compete is the fact CUDA is both proprietary and the industry standard, if you want to use a library you have to translate it yourself which is kind of inconvenient and no datacentre is going to go for that

      • Buffalox@lemmy.world
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        11 days ago

        The main reason Intel can’t compete is the fact CUDA is both proprietary and the industry standard

        AFAIK the AMD stack is open source, I’d hoped they’d collaborate on that.

        • 1rre@discuss.tchncs.de
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          11 days ago

          I think intel support it (or at least a translation layer) but there’s no motivation for Nvidia to standardise to something open-source as the status quo works pretty well

      • Trainguyrom@reddthat.com
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        11 days ago

        The main reason Intel can’t compete is the fact CUDA is both proprietary and the industry standard

        Funnily enough this is actually changing because of the AI boom. Would-be buyers can’t get Nvidia AI cards so they’re buying AMD and Intel and reworking their stacks as needed. It helps that there’s also translation layers available now too which translate CUDA and other otherwise vebdor-specific stuff to the open protocols supported by Intel and AMD